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Amidst the growing complexity of the grid, whose power lines crisscross through vast landscapes, maintaining safety and reliability is paramount. One of the oft-overlooked, yet critical, challenges in this field is utility vegetation management (UVM). Overgrown trees and vegetation pose a constant threat to utility infrastructure, leading to outages, damages, and wildfires during major weather events such as wildfires and hurricanes.
To effectively address these challenges , modern utilities are turning to advanced remote sensing technologies, which offer insights that were once unattainable. Among these technologies, two giants stand out: LiDAR (light detection and ranging) and satellite imagery. Each has its own set of unique advantages, making them indispensable tools in the utility industry.
In this blog, we will explore the remarkable capabilities of LiDAR and satellite imagery and why leveraging both is the key to comprehensive UVM. It's a tale of precision meeting large scale coverage, accuracy blending with accessibility, and technology converging with nature to ensure severe weather does not disrupt power.
LiDAR stands as the pinnacle of precision in UVM. This technology employs laser light pulses to measure distance and generates highly accurate 3D data about the surrounding environment. The beauty of LiDAR lies in its ability to provide pinpoint accuracy, capturing data with incredible detail.
What makes LiDAR truly remarkable is its versatility in data acquisition. It can be harnessed from both ground-based platforms (such as car-mounted sensors) and aerial platforms (like drones, airplanes, or helicopters). In the context of UVM, this versatility means that utilities can choose the method that best suits their specific needs, with respect to terrain and size of covered area. Ground-based LiDAR is ideal for capturing data in dense urban areas and confined spaces, where traditional aerial methods might struggle. On the other hand, aerial LiDAR excels in covering vast areas efficiently, ensuring that no portion of the utility network is left unmonitored.
LiDAR's value isn’t limited to UVM. It also extends to grid structural analysis, a crucial component of maintenance. With LiDAR, utilities can identify leaning power poles, assess storm damage, and monitor transmission towers for various types of damage. This comprehensive view of the network aids in predictive maintenance, ensuring that potential issues are addressed before they escalate to the point of disrupting power, ultimately enhancing the grid's stability and reliability.
Satellites capture imagery that offer utilities a broad and accessible view of their extensive networks. This accessibility is a key advantage, as it enables utilities to monitor vegetation without extensive fieldwork, making satellite imagery a cost-effective and time-efficient solution.
Satellite imagery contains multiple spectral bands, each sensitive to different aspects of the electromagnetic spectrum. This diversity of data allows utilities to monitor vegetation health (e.g. identifying dead or dying trees) and assess overall network conditions. The ability to detect early signs of stress in vegetation is invaluable for utilities, especially in regions prone to wildfires.
Satellite technology is advancing at a rapid pace. With new satellite launches and evolving capabilities, utilities can now task satellites to collect imagery over specific areas, even on short notice. The revisit rates (i.e. the rate at which satellites can take multiple images of the same areas) have significantly improved, ensuring that utilities receive frequent updates about their trimming needs. This enables them to respond proactively to any emerging issues, reducing the risk of outages and incidents.
The ease of accessibility and the wealth of data provided by satellite imagery make it an indispensable tool for UVM. While it may not offer the same pinpoint accuracy as LiDAR, its strength lies in its broad yet efficient coverage, helping utilities maintain the reliability and safety of their power networks.
In the ever-evolving landscape of UVM, the question isn't whether to choose LiDAR or satellite imagery, but how to leverage both for maximum benefit. These two powerful technologies, each with unique strengths, are most potent when working together.
LiDAR's pinpoint accuracy excels in identifying vegetation encroachments and structural issues near power lines, making it indispensable for precision UVM. However, deploying LiDAR for an entire utility network can be time-consuming and costly. This is where satellite imagery steps in, offering a broad view of network conditions with extensive coverage. This dual approach combines the best of both worlds, allowing utilities to efficiently monitor vast areas while maintaining precision in identifying and managing vegetation.
Further, the cost effectiveness of satellite imagery complements LiDAR's accuracy. It provides consistent and up-to-date data without the need for extensive fieldwork or complex hardware. This synergy not only reduces operational costs but also enhances grid reliability by combining the detailed insights of LiDAR with the cost-effectiveness and efficiency of satellite imagery.
Utilities operating in regions prone to wildfires particularly benefit from this combination. Satellite imagery can detect early signs of dead or dying vegetation that may fuel a future wildfire, allowing for preventive actions. At the same time, LiDAR's accuracy assesses the proximity of said vegetation to power lines, altogether minimizing wildfire risks.
By accurately assessing potential ignition sources of wildfires and identifying areas where vegetation encroachment poses a risk, utilities can proactively plan targeted vegetation management efforts. This approach reduces the likelihood of ignition caused by contact between vegetation and power lines, while also minimizing the need for extensive manual inspections, saving time and resources.
The choice between LiDAR and satellite imagery isn't an either/or decision—it's a strategic combination that modern utilities increasingly recognize as a necessity.
The advantages of each technology complement the limitations of the other, forming a harmonious partnership.
LiDAR's precision in identifying vegetation encroachments and structural issues near power lines is unmatched. However, deploying LiDAR for a full utility network can take an excessive amount of time, making satellite imagery the better choice in such a scenario.
LiDAR can be pricey to deploy and maintain, especially over a large area of coverage. Satellite imagery offers a cost-effective solution by delivering consistent and up-to-date data without the need for substantial fieldwork or complex hardware.
Satellite imagery, with its spectral bands, is ideal for assessing vegetation health. It can pinpoint areas with dead or dying trees, helping utilities proactively address potential hazards. In combination with LiDAR's structural analysis capabilities, utilities gain a holistic view of their network's integrity.
Utilities operating in fire-prone regions benefit from satellite imagery's ability to detect early signs of vegetation stress, enabling them to take preventive actions. LiDAR's accuracy can further assist in assessing the proximity of vegetation to power lines, helping to mitigate the risk of wildfires.
In the realm of UVM, the strategic combination of LiDAR and satellite imagery ensures that utilities maximize reliability, safety, and efficiency while addressing the unique challenges of their networks. This partnership empowers utilities to navigate the complex terrain of UVM with confidence, enhancing grid resilience.
While LiDAR and satellite imagery provide powerful tools for UVM, it's essential to remember that the choice isn't merely between these technologies. It's about finding a comprehensive platform that integrates both seamlessly. This is where the GridOS Visual Intelligence solution steps in as the ultimate UVM tool.
Unlike other vendors in the market who offer LiDAR- or satellite-exclusive solutions, GE Vernova understands the need for a holistic approach. GridOS Visual Intelligence is a unique offering that not only supports LiDAR and satellite but also seamlessly integrates a wide array of other sensors, including thermal and optical imagery sensors. This multi-sensor approach ensures that utilities can harness the combined power of these technologies without compromise.
GridOS Visual Intelligence is the culmination of extensive experience and global reach, having delivered cutting-edge technology to the largest utilities worldwide. Its asset-centric approach contextualizes external data within the comprehensive network model, providing unparalleled insights for utilities. These insights, generated using AI, translate into actionable work plans, enhancing network reliability, reducing costs, and improving customer satisfaction.
Furthermore, the platform seamlessly integrates with field users, providing real-time access and enhancing coordination through mobile solutions. It's an all-encompassing solution that not only meets the unique challenges of modern UVM but also paves the way for a smarter, safer, and more efficient utility network.
In the world of UVM, it's clear that relying solely on either LiDAR or satellite is a thing of the past. The future belongs to solutions like Visual Intelligence, where the integration of both technologies is the key to success. It's a testament to the evolving landscape of utility management, where the combined power of innovation and synergy leads to stronger, safer, and more reliable power networks.
Visual Intelligence, Senior Product Manager, GE Digital
Sylvain Mandrau is a Senior Product Manager at GE Vernova. Sylvain manages the Grid Analytics software portfolio, including GE Vernova Visual Intelligence Platform. Sylvain's area of expertise lies in productizing new software technology, focusing on collaboration between customer and company with cross-functional partners and strategic alliances to deliver successful results.
For more information about orchestrating renewables with grid software, contact the GE Vernova Grid Software team online or at 1-833-690-5552.